Results 11 to 20 of about 13,817 (251)
Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network
International Journal of Antennas and Propagation, 2021 In order to ensure the benign operation of the social security fund system, it is necessary to understand the social security fund facing all aspects of the risk, more importantly to know the relationship between different risks.
Linxuan Yang
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Multi-Kernel Fusion for RBF Neural Networks
Neural Processing Letters, 2022 AbstractA simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generation of radial basis function neural network is equipped with multiple kernels which provide significant performance benefits compared to the previous generation using ...
Syed Muhammad Atif +4 more
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Parallel implementation of RBF neural networks [PDF]
, 1996 This report presents several parallel implementations, on a MIMD machine, of a learning algorithm called OLS (Orthogonal Least Squares) for RBF (Radial Basis Function) neural networks. The sequential version is first described, and a straightforward parallel version is proposed.
V. Demian +3 more
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Gong-kuang zidonghua, 2014 The paper proposed a fault line selection method of small current grounding system based on wavelet de-noising and improved RBF neural network. Fault information matrix is obtained after normalization processing for maximum of absolute value of de-noised
WANG Xiaowei +3 more
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IEEE Access, 2020 With the rapid economic development, urban areas are seeing more and more vehicles, leading to frequent urban traffic congestion. To solve this problem, the forecasting of traffic parameters is essential, in which, road operating speed (hereinafter ...
Chun Ai, Lijun Jia, Mei Hong, Chao Zhang
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An adiabatic neural network for RBF approximation
Neural Computing & Applications, 1994 Numerous studies have addressed nonlinear functional approximation by multilayer perceptrons (MLPs) and RBF networks as a special case of the more general mapping problem. The performance of both these supervised network models intimately depends on the efficiency of their learning process.
Bart Truyen +2 more
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Application of improved PSO-RBF neural network in the synthetic ammonia decarbonization
Journal of Hebei University of Science and Technology, 2017 The synthetic ammonia decarbonization is a typical complex industrial process, which has the characteristics of time variation, nonlinearity and uncertainty, and the on-line control model is difficult to be established. An improved PSO-RBF neural network
Yongwei LI +3 more
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Complexity, 2018 The neural network has the advantages of self-learning, self-adaptation, and fault tolerance. It can establish a qualitative and quantitative evaluation model which is closer to human thought patterns.
Tiantian Luan +3 more
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Finite Element Model Modification of Arch Bridge Based on Radial Basis Function Neural Network [PDF]
E3S Web of Conferences, 2019 Compared with other neural networks, Radial Basis Function (RBF) neural network has the advantages of simple structure and fast convergence. As long as there are enough hidden layer nodes in the hidden layer, it can approximate any non-linear function ...
Chen Tongqing +4 more
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A new type of fault diagnosis method of asynchronous motor
Gong-kuang zidonghua, 2014 In view of problem of difficult parameters determination existed in fault diagnosis method of asynchronous motor based on RBF neural network, the paper proposed a fault diagnosis method of asynchronous motor based on RBF neural network optimized by ...
GOU Xijin, XU Jinxia, KONG Lili
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